{"id":"W2974546867","doi":"","title":"Верна ли для Армении гипотеза роста на основе экспорта","year":2019,"lang":"ru","type":"article","venue":"Экономика и управление","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Currency; Economics; Quarter (Canadian coin); Granger causality; Monetary economics; Causality (physics); International economics; Real gross domestic product; Econometrics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001560337,0.001183134,0.002205284,0.0008538749,0.0004351424,0.0007240606,0.001670537,0.0009899192,0.02989874],"category_scores_gemma":[0.0002973125,0.001410912,0.0009264837,0.0008188917,0.0002045686,0.0008688786,0.0008264517,0.001302168,0.07786141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092134,"about_ca_system_score_gemma":0.0002347478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006926804,"about_ca_topic_score_gemma":0.0001313502,"domain_scores_codex":[0.9922839,0.00007137463,0.002774282,0.002343973,0.0002517882,0.002274693],"domain_scores_gemma":[0.9956077,0.0003222439,0.001493461,0.001654237,0.0001463604,0.0007759894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004743651,0.001123535,0.6702892,0.001101369,0.001846089,0.0001184184,0.005270208,0.0007694793,0.000230295,0.1220552,0.1507414,0.04598046],"study_design_scores_gemma":[0.002685008,0.0003205519,0.08672505,0.0001823588,0.00005043529,0.00002776346,0.0006505016,0.003374744,0.0001979688,0.006913696,0.8968512,0.002020763],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7529839,0.01446847,0.0001181094,0.003321254,0.01091851,0.001415378,0.000581677,0.0001930498,0.2159996],"genre_scores_gemma":[0.8306519,0.002453798,0.0009358648,0.002362462,0.001242764,0.00006527863,0.0001422731,0.0002261033,0.1619195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7461097,"threshold_uncertainty_score":0.998834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501876917249735,"score_gpt":0.178463194296723,"score_spread":0.1634444251242257,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}